| 光谱学与光谱分析 |
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| Research on Pixel Decomposition of QuickBird Multi-Spectrum Band Images |
| CHEN Chun1, LIU Cheng-yu1*, ZHANG Shu-qing2 |
1. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 130024, China
2. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences，Changchun 130012, China |
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Abstract In the condition that the DN(Digital Number) value images of ground-atmosphere system recorded by the QuickBird artificial satellite sensor were taken as the experimental datum, the equation of pixel decomposition was structured, abiding by energy conservation law and the proportional relationship between the sum of 1-4 band integral radiance and the panchromatic band (Pan) integral radiance. By using the equation gained above, every pixel of 1-4 band images was decomposed into sixteen pixels. So the high resolution 1-4 band radiance images with the resolution of 0.61 m were finally obtained in this experiment. Compared with the original 1-4 band images, the spatial resolution of the high resolution 1-4 band radiance images was raised by four times. The detailed characteristics of the surface features in the high resolution 1-4 band radiance images were more limpid than the original 1-4 band images. The optesthesia effect was also improved obviously in the high resolution 1-4 band radiance images. Therefore, the map with appropriate scale improved from 1∶10 000 to 1∶2 500 can be made based on the high resolution 1-4 band radiance images.
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Received: 2008-11-06
Accepted: 2009-02-08
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Corresponding Authors:
LIU Cheng-yu
E-mail: liucy777@nenu.edu.cn
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[1] ZHANG Guo-kun，CHEN Chun，XING Fu, et al(张国坤，陈 春，邢 福，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2008，28(3)：494.
[2] LIN Hui，LI Ji-ping，MO Deng-kui(林 辉，李际平，莫登奎). Journal of Image and Graphics(中国图象图形学报)，2005，10(10)：1504.
[3] TANG Guo-an，ZHANG You-shun，LIU Yong-mei(汤国安，张友顺，刘咏梅). Digital Remote Sensing Data Processing(遥感数字图像处理). Beijing：Science Press(北京：科学出版社)，2004.
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